UNDERSTANDING KEY DRIVERS OF MOOC SATISFACTION AND CONTINUANCE INTENTION TO USE

被引:2
|
作者
Lu, Yunfan [1 ]
Wang, Bin [2 ]
Lu, Yaobin [3 ]
机构
[1] Huazhong Agr Univ, Coll Econ & Management, Wuhan 430070, Hubei, Peoples R China
[2] Univ Texas Rio Grande Valley, Robert C Vackar Coll Business & Entrepreneurship, Edinburg, TX 78539 USA
[3] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Hubei, Peoples R China
来源
基金
美国国家科学基金会;
关键词
MOOCs; Expectation-confirmation theory; Satisfaction; Continuance intention to use; EXPECTATION-CONFIRMATION; LEARNING OUTCOMES; HIGHER-EDUCATION; SOCIAL-INFLUENCE; ONLINE; FLOW; STUDENTS; SYSTEMS; ANTECEDENTS; ACCEPTANCE;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Massive Open Online Courses (MOOCs) have attracted global audiences who desire to learn. However, the completion rate of these courses is less than 10 percent. Few studies have systematically researched the influence of expectation-confirmation theory (ECT) and user experience (e.g., flow experience, perceived interest) on user satisfaction of and the continuance intention to use MOOCs. The present study examines the drivers of MOOC satisfaction based on ECT and the influence of satisfaction on user behavior. A research model reflecting the relationships among confirmation, usefulness, interest, flow, satisfaction, and continuance intention to use, and intention to recommend was developed and tested using data collected from 300 subjects. Our findings show that flow and interest are important variables that enhance MOOC satisfaction based on ECT.
引用
收藏
页码:105 / 117
页数:13
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